Probability functions to build composite indicators: A methodology to measure environmental impacts of genetically modified crops

Ecological Indicators

Volumn 52, Issue , 2015, Pages 498-516

  Areal, F J ^a   Riesgo, L ^b  

^a UNIVERSITY OF READING   (United Kingdom)

^b UNIVERSIDAD PABLO DE OLAVIDE   (Spain)

Author keywords

Composite indicators; Conventional crops; Environmental impacts; GM crops; Meta analysis; Probability

Indexed keywords

CROPS; GENETICALLY MODIFIED PLANTS; PROBABILITY;

COMPOSITE INDICATORS; GENETICALLY MODIFIED; GENETICALLY MODIFIED CROPS; GM CROPS; META ANALYSIS; PROBABILITY FUNCTIONS; SPECIES RICHNESS; THREE DIMENSIONS;

ENVIRONMENTAL IMPACT;

CROP PLANT; ENVIRONMENTAL IMPACT; ENVIRONMENTAL INDICATOR; GENETICALLY MODIFIED ORGANISM; META-ANALYSIS; PESTICIDE APPLICATION; PROBABILITY;

EID: 84921689633     PISSN: 1470160X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolind.2015.01.008     Document Type: Article

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